Expert Data Scientist angolphone (H/F) - Rabat

Informatique / Electronique - Multimédia / Internet - Secteur Informatique - Internet / Multimédia

  • De 5 à 10 ans
  • 2 poste(s) sur Rabat et région - Maroc
  • Bac +5 et plus Minimum - Master

Organisation Créativité Ténacité

  • CDI
  • Télétravail : Hybride
Publiée il y a 32 jours sur - Postulez avant le 24/07/2024

Entreprise :

DXC Technology est née en avril 2017 d'une fusion entre CSC (Computer Sciences Corporation), Géant du Conseil et HP Enterprise Services, Leader en Services IT.

Le Groupe DXC enregistre 25 milliards $ de revenus, bénéficie de 60 ans d’expérience et emploie 170.000 collaborateurs dans plus de 70 pays qui servent plus de 6000 clients.

DXC Technology au Maroc, implantée depuis 2007, est une joint-venture entre DXC Technology, leader mondial des services d'intégration & d'infogérance et le Groupe CDG ( Caisse de Dépôt et de Gestion).

Avec 1200 collaborateurs répartis sur 2 sites de production (Technopolis & Casa NearShore), DXC Technology au Maroc a pour vocation d'accompagner les très grands comptes et donneurs d'ordre publics et privés dans leur transformation digitale et d'adresser ainsi l'ensemble des enjeux IT que sont l’Hébergement, l'Infogérance, la Modernisation Applicative, Business Intelligence & Analytics, Workplace & Mobilty Services, Business Process Services, la Cyber Sécurité et le Conseil. 

Poste :

The Expert Data Scientist will be responsible for driving innovative solutions and improving decision-making through the use of statistical analysis, machine learning, and data modeling techniques. This position requires a deep understanding of data analytics and its application to business problems. The ideal candidate will have a strong background in mathematical modeling, predictive analytics, and computer science.
Responsibilities and Duties:
• Develop complex statistical models that integrate multiple data sources to answer business questions and drive strategy.
• Lead the design and implementation of machine learning algorithms to solve critical business challenges.
• Collaborate with cross-functional teams including engineering, product management, and customer service to implement data-driven solutions that support company objectives.
• Communicate findings and propose actionable insights to stakeholders and executive leadership.
• Experience around NLP libraries and frameworks for text processing, sentiment analysis, named entity recognition, Intent classification, and other language-related tasks, such as scikit-learn, NumPy, NLTK, SpaCy.
• Work closely with LLM frameworks such as LangChain, OpenAI’s APIs, Vector databases, and apply Prompt design techniques.
• Hands-on experience with some of the most popular ML frameworks (e.g., TensorFlow, PyTorch, Transformers, etc.).
• Awareness of the AI controllability, including privacy, bias, fairness, transparency, and the ability to implement AI systems responsibly and in compliance with legal and ethical guidelines.
• Willingness to stay updated with the latest developments in AI/ML and continuously learn new techniques and best practices.
• Manage and oversee the lifecycle of data analysis projects from data collection and cleaning to analysis and deployment.
• Continuously evaluate and improve existing machine learning models and data architecture.
• Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning within the team.
• Stay abreast of industry trends and advancements in data science and artificial intelligence.
1. Effective collaboration alongside developers and cross-functional teams. Ability to clearly communicate technical concepts to both technical and non-technical team members.
2. Advocate for software engineering good practices (e.g., version control, documentation, test-driven development).
3. Strong problem-solving skills to approach complex AI challenges and devise innovative solutions.
4. Strong verbal and written communication skills in English.
5. Ability to work independently and as part of a team.
• Advanced degree (Ph.D. or MSc) in Computer Science, Statistics, Applied Mathematics, or a related field.
• Minimum of 5 years of experience in a data science role with a proven track record of successful projects.
• Expert proficiency with data science tools and programming languages such as Python, SQL, and Scala.
• Strong experience with machine learning frameworks and libraries such as TensorFlow, Keras, or PyTorch.
• Demonstrated experience with big data technologies such as Hadoop, Spark, and Kafka.
• Excellent analytical, problem-solving, and quantitative skills.
• Ability to interpret and visualize data effectively, conveying insights to both technical and non-technical stakeholders.
• Strong communication and leadership skills, with the ability to lead projects and teams.

Profil recherché :

Skills and Experience as the Data/Business Analyst:
Essential :
• Experience as a data business analyst, working directly with software engineers and business SMEs in an agile environment and ideally as part of a DevOps model.
• Experience in producing high quality data mapping documentation including data cleansing and transformation criteria.
• Experience in producing high quality user stories for hybrid cloud environments, to a predefined readiness criteria, including witting detailed acceptance criteria and defining and documenting exception processes.
• Experience of supporting and working closely with development teams and assisting testers in developing test scenarios and test automation using BDD/TDD or similar industry standard approach.
• Experience running workshops / requirements gathering events
• Experience with Atlassian tools including Jira / Confluence
• Experience with SQL
Nice to have :
• Experience with Mainframe and RDBMS platforms
• Technical experience of Private and Public cloud platforms such as AWS, Azure and the likes
• Experience with Domain Driven Development

Adresse de notre siège :

Technopolis-Rabatshore , batiment B9 11100 Sala Al Jadida

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